Immunoexpression of CD44, p16 and VEGF in oral cancer

Author:

de Abreu Priscila Marinho1,Sol Marcella2,Bianchi Molini Patrícia Roccon3,Daniel Camila Batista1,Camisasca Danielle Resende3,von Zeidler Sandra Ventorin1

Affiliation:

1. Biotechnology Program, Universidade Federal do Espírito Santo - UFES, Vitória, ES, Brazil

2. Department of Pathology, Universidade Federal do Espírito Santo - UFES, Vitória, ES, Brazil

3. School of Dentistry, Universidade Federal do Espírito Santo - UFES, Vitória, ES, Brazil

Abstract

Abstract Objectives: The aim of the present study was to examine the immunoexpression of CD44, p16 and VEGF in oral squamous cell carcinoma (OSCC) and correlate them to clinicopathological parameters and survival outcomes in order to clarify their prognostic impact. Material and Methods: A total of 68 individuals with OSCC recruited between 2011 and 2015 from two referral centres were enrolled in the study. The samples were placed on silanized glass slides and subjected to immunohistochemistry using anti-p16, anti-CD44 and anti-VEGF antibodies. The H Score was used for p16 and VEGF, while CD44 was scored according to the percentage of stained cells. Chi-square tests and Fisher’s exact probability tests were used to compare clinicopathological characteristics according to the immunohistochemical expression, while overall survival and disease-free survival were estimated and compared using the Kaplan-Meier method and log-rank test, respectively. For all hypothesis tests, the level of significance was set at P ≤ 0.05. Results: No correlation was observed between the expression of tumour VEGF, p16 and CD44, and the clinicopathological characteristics analysed. Patients with high stromal VEGF expression had better disease-free survival than patients with low VEGF expression (P = 0.023). Conclusion: In summary, P16, CD44 and tumour VEGF did not prove to be good prognostic biomarkers. Stromal VEGF expression is suggested to be a good candidate prognostic biomarker, although additional studies are needed.

Publisher

Medknow

Reference30 articles.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3